Relacionar Columnas RelationshipsVersión en línea Match the relationship with its definition. por Paul Alves - Fletchers Meadow SS (2492) 1 common cause relationship 2 accidental relationship 3 presumed relationship 4 control group 5 hidden variables 6 reverse cause and effect relationship accidental relationship presumed relationship 7 experimental group 8 cause and effect relationship 9 extraneous variables A correlation exists without any causal relationship between variables. The presumed dependent and independent variables are reversed in the process of determining causality. (Y causes X). A correlation exists without any causal relationship between variables. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship. An external variable causes two variables to change the same way. they receive the treatment being tested Extraneous variables that are difficult to recognize. May invalidate conclusions drawn from statistical results. A correlation doesn’t appear to be accidental even though there is no apparent cause and effect or common cause relationship. they do not receive the treatment by the researchers and are used as to compare against the group that does receive the treatment A change in X produces a change in Y. Variables that affect either the dependent or the independent variable and are NOT predictable.
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